IEEE Trans Image Process - Multiview deblurring for 3-D images from light-sheet-based fluorescence microscopy.

Tópicos

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Resumo

We propose an algorithm for 3-D multiview deblurring using spatially variant point spread functions (PSFs). The algorithm is applied to multiview reconstruction of volumetric microscopy images. It includes registration and estimation of the PSFs using irregularly placed point markers (beads). We formulate multiview deblurring as an energy minimization problem subject to L1-regularization. Optimization is based on the regularized Lucy-Richardson algorithm, which we extend to deal with our more general model. The model parameters are chosen in a profound way by optimizing them on a realistic training set. We quantitatively and qualitatively compare with existing methods and show that our method provides better signal-to-noise ratio and increases the resolution of the reconstructed images.

Resumo Limpo

propos algorithm d multiview deblur use spatial variant point spread function psfs algorithm appli multiview reconstruct volumetr microscopi imag includ registr estim psfs use irregular place point marker bead formul multiview deblur energi minim problem subject lregular optim base regular lucyrichardson algorithm extend deal general model model paramet chosen profound way optim realist train set quantit qualit compar exist method show method provid better signaltonois ratio increas resolut reconstruct imag

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